Comparison of frequency domain noise reduction strategies based on multichannel Wiener filtering and spatial prediction

  • Authors:
  • Bram Cornelis;Marc Moonen;Jan Wouters

  • Affiliations:
  • Katholieke Universiteit Leuven, Dept. of Electrical Engineering (ESAT-SCD), Kasteelpark Arenberg 10, 3001, Belgium;Katholieke Universiteit Leuven, Dept. of Electrical Engineering (ESAT-SCD), Kasteelpark Arenberg 10, 3001, Belgium;Katholieke Universiteit Leuven, Dept. of Neurosciences, ExpORL, Herestraat 49/721, 3000, Belgium

  • Venue:
  • ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
  • Year:
  • 2009

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Abstract

In this paper two multichannel noise reduction strategies are compared in the context of binaural hearing aids. Recently a novel noise reduction method based on spatial-temporal prediction (STP) was introduced which showed an improvement over methods based on multichannel Wiener filtering, although at the cost of a higher computational complexity. Whereas this newmethod operates in the time domain, hearing aids typically demand faster frequency domain implementations. In this paper we therefore propose a frequency domain equivalent of the STP method. The performance of the new so-called spatial prediction (SP) method will be compared to a frequency domain implementation of the speech distortion weighted multichannel Wiener filter (SDW-MWF), theoretically as well as based on simulations with a binaural hearing aid configuration. It will be shown that the frequency domain SP method still achieves some improvement over the SDW-MWF, at the cost of higher computational complexity.